How to resolve timeout issues caused by excessive Redis accesses?

When Redis experiences timeout due to frequent access, you can try the following solutions:

1. Optimize Redis configuration by checking the Redis configuration file and adjusting parameters such as maximum connection count and timeout to ensure Redis can handle more requests.
2. Adding Redis instances: Consider increasing the number of Redis instances through horizontal scaling to distribute requests across multiple instances, thereby improving concurrency performance.
3. Utilize connection pooling: Manage connections to Redis using a connection pool to avoid establishing and closing connections for each request, thus reducing connection overhead.
4. Optimize code logic: review the application code to minimize unnecessary and redundant visits to Redis, consolidate multiple operations into batch operations, and reduce network overhead.
5. Utilize caching: store frequently accessed data in the application’s memory to reduce the frequency of accessing Redis. You can use memory caching frameworks like Memcached or Redis’s own caching feature.
6. Distributed lock: When multiple requests access the same resource simultaneously, a distributed lock can be used to control concurrent access, preventing conflicts and duplicate operations.
7. Sharding data: distributing data across multiple Redis instances based on business requirements to reduce the access pressure on individual instances.
8. Upgrade hardware: If the above methods still cannot solve the problem, consider upgrading the hardware to increase the server’s processing capabilities and improve the performance of Redis.

Taking into account the above methods, one can choose a suitable solution based on the actual situation in order to improve the performance and reliability of Redis.